MarioniLab/scran: Methods for Single-Cell RNA-Seq Data Analysis
Implements miscellaneous functions for interpretation of single-cell RNA-seq data. Methods are provided for assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Clustering GeneExpression ImmunoOncology Normalization RNASeq Sequencing SingleCell Software Transcriptomics |
| Maintainer | |
| License | GPL-3 |
| Version | 1.31.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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